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Correction: Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers

BMC Digital Health volume 1, Article number: 40 (2023) Cite this article

The Original Article was published on 03 February 2023

Correction: BMC Digital Health 1, 6 (2023)

https://doi.org/10.1186/s44247-022-00001-0

Following publication of the article [1], it came to the authors' attention that the declaration 'Availability of data and materials' was incomplete. Whereas previously the declaration indicated that data extracted and analyzed for their study was available from the corresponding author on reasonable request, the declaration has now been corrected to the following:

The authors thank you for reading this erratum and apologize for any inconvenience caused.

Reference

  1. Tulu Thomas Wetere, et al. Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers. BMC Digital Health. 2023;1:6. https://doi.org/10.1186/s44247-022-00001-0.

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Author notes

  1. Thomas Wetere Tulu, Tsz Kin Wan, Ching Long Chan and Chun Hei Wu contributed equally to this work.

Authors and Affiliations

  1. Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China

    Thomas Wetere Tulu, Ching Long Chan, Chun Hei Wu & Kei Hang Katie Chan

  2. Computational Data Science Program, Addis Ababa University, Addis Ababa, Ethiopia

    Thomas Wetere Tulu

  3. Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China

    Tsz Kin Wan & Kei Hang Katie Chan

  4. Department of Neurosurgery, Kwong Wah Hospital, Hong Kong SAR, China

    Peter Yat Ming Woo

  5. Department of Medicine and Geriatrics, Kwong Wah Hospital, Hong Kong SAR, China

    Cee Zhung Steven Tseng

  6. Innovative Medicines, Novartis Pharma GmbH, 90429, Nuremberg, Germany

    Asmir Vodencarevic

  7. Department of Twin Research, King’s College London, London, UK

    Cristina Menni

  8. Department of Epidemiology and Center for Global Cardiometabolic Health, School of Public Health, Brown University, Providence, RI, USA

    Kei Hang Katie Chan

Authors
  1. Thomas Wetere Tulu
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  2. Tsz Kin Wan
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  3. Ching Long Chan
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  4. Chun Hei Wu
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  5. Peter Yat Ming Woo
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  6. Cee Zhung Steven Tseng
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  7. Asmir Vodencarevic
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  8. Cristina Menni
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  9. Kei Hang Katie Chan
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Corresponding author

Correspondence to Kei Hang Katie Chan.

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Tulu, T.W., Wan, T.K., Chan, C.L. et al. Correction: Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers. BMC Digit Health 1, 40 (2023). https://doi.org/10.1186/s44247-023-00045-w

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  • DOI: https://doi.org/10.1186/s44247-023-00045-w

BMC Digital Health

ISSN: 2731-684X

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